Hannah Gellert
hgellert.bsky.social
Hannah Gellert
@hgellert.bsky.social
Petrov Lab | Department of Biology | Stanford University
Reposted by Hannah Gellert
Thrilled to finally share the magnum opus of my PhD that focuses on the genetic basis of evolutionary change! Specifically, we know we can map the genetic basis of a trait, but can we tell which genes will underlie the trait shift when it evolves? doi.org/10.1101/2025...
High-resolution mapping of a rapidly evolving complex trait reveals genotype-phenotype stability and an unpredictable genetic architecture of adaptation
The extent to which adaptation can be predicted, particularly for traits with complex genetic bases, is unknown. Here, we leveraged a model complex trait, model species, and high-powered longitudinal ...
doi.org
November 18, 2025 at 12:15 AM
Reposted by Hannah Gellert
How is functional variation at large-effect loci maintained in natural populations, even as environments change? In a paper led by @mkarag.bsky.social, we tracked known pesticide resistant alleles in outdoor 𝘋. 𝘮𝘦𝘭𝘢𝘯𝘰𝘨𝘢𝘴𝘵𝘦𝘳 cages & inferred selection and dominance from temporal sequencing data.
November 6, 2025 at 9:51 PM
Reposted by Hannah Gellert
Super excited that the bulk of my PhD work is now preprinted! Here we used whole-community competition, or coalescence, experiments to quantify selection acting on genetically diverged strains within larger communities. (1/n)
www.biorxiv.org/content/10.1...
www.biorxiv.org
November 11, 2025 at 5:15 PM
Reposted by Hannah Gellert
One of the most exciting works of my career, years in the making. We used high-throughput precision genome editing to test the fitness effects of thousands of natural variants. Our findings challenge the long-held assumption that common variants are inconsequential.

www.biorxiv.org/content/10.1...
Massively parallel interrogation of the fitness of natural variants in ancient signaling pathways reveals pervasive local adaptation
The nature of standing genetic variation remains a central debate in population genetics, with differing perspectives on whether common variants are almost always neutral as suggested by neutral and n...
www.biorxiv.org
October 22, 2025 at 5:46 PM
Reposted by Hannah Gellert
Excited to share the first manuscript from my PhD in which we leveraged ultra-long Nanopore sequencing, D. melanogaster inbred lines, and a ton of manual validation to investigate the effects of long-read length on population-level structural variant (SV) calling accuracy! doi.org/10.1101/2025...
Manual validation finds only ultra-long long-read sequencing enables faithful, population-level structural variant calling in Drosophila melanogaster euchromatin
The increasing accessibility of long-read sequencing and the rapid development of automated variant callers are promoting the generation of population-level structural variation data. However, the eff...
doi.org
April 25, 2025 at 8:03 PM